Só para constar, você pode encontrar as consultas existentes usando o Data Explorer.
Ex: SELECT * from badges WHERE query LIKE '%10 days%'
Aqui está a de 365 dias:
WITH consecutive_visits AS ( SELECT user_id , visited_at , visited_at - (DENSE_RANK() OVER (PARTITION BY user_id ORDER BY visited_at))::int s FROM user_visits ), visits AS ( SELECT user_id , MIN(visited_at) "start" , DENSE_RANK() OVER (PARTITION BY user_id ORDER BY s) "rank" FROM consecutive_visits GROUP BY user_id, s HAVING COUNT(*) >= 365 ) SELECT user_id , "start" + interval '365 days' "granted_at" FROM visits WHERE "rank" = 1
e a de 10 dias:
WITH consecutive_visits AS ( SELECT user_id , visited_at , visited_at - (DENSE_RANK() OVER (PARTITION BY user_id ORDER BY visited_at))::int s FROM user_visits ), visits AS ( SELECT user_id , MIN(visited_at) "start" , DENSE_RANK() OVER (PARTITION BY user_id ORDER BY s) "rank" FROM consecutive_visits GROUP BY user_id, s HAVING COUNT(*) >= 10 ) SELECT user_id , "start" + interval '10 days' "granted_at" FROM visits WHERE "rank" = 1
Então, estou achando que isso pode funcionar para 30:
WITH consecutive_visits AS ( SELECT user_id , visited_at , visited_at - (DENSE_RANK() OVER (PARTITION BY user_id ORDER BY visited_at))::int s FROM user_visits ), visits AS ( SELECT user_id , MIN(visited_at) "start" , DENSE_RANK() OVER (PARTITION BY user_id ORDER BY s) "rank" FROM consecutive_visits GROUP BY user_id, s HAVING COUNT(*) >= 30 ) SELECT user_id , "start" + interval '30 days' "granted_at" FROM visits WHERE "rank" = 1
… o que eu verifiquei que executa e parece retornar resultados aparentemente sensatos, mas ainda não conferi os resultados detalhadamente 